Ali Vakilian

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Piotr IndykProfessor of Electrical Engineering and Computer Science, MITDirección de correo verificada de mit.edu
Sepideh MahabadiMicrosoft ResearchDirección de correo verificada de ttic.edu
Tal WagnerTel-Aviv University and AmazonDirección de correo verificada de mit.edu
Yury MakarychevProfessor of Computer Science, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Alina EneBoston UniversityDirección de correo verificada de bu.edu
Ronitt RubinfeldProfessor of Computer Science, MIT and Tel Aviv UniversityDirección de correo verificada de csail.mit.edu
Justin Y. ChenMITDirección de correo verificada de mit.edu
Sandeep SilwalAssistant Professor, University of Wisconsin-MadisonDirección de correo verificada de cs.wisc.edu
Baruch SchieberNew Jersey Institute of TechnologyDirección de correo verificada de njit.edu
Arturs BackursMicrosoft ResearchDirección de correo verificada de microsoft.com
Krzysztof OnakBoston UniversityDirección de correo verificada de onak.pl
Anders AamandUniversity of CopenhagenDirección de correo verificada de mit.edu
Hsu Chen-YuPhD Student, MITDirección de correo verificada de mit.edu
Dina KatabiThuan and Nicole Pham Professor, MITDirección de correo verificada de ai.mit.edu
Erik DemaineProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Fred ZhangGoogle DeepMindDirección de correo verificada de berkeley.edu
Yodsawalai ChodpathumwanThe Sirindhorn International TGGS, King Mongkut's University of Technology North BangkokDirección de correo verificada de tggs.kmutnb.ac.th
Arash TermehchySchool of EECS, Oregon State UniversityDirección de correo verificada de eecs.oregonstate.edu
Chandra ChekuriProfessor of Computer Science, University of Illinois, Urbana-ChampaignDirección de correo verificada de illinois.edu

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Ali Vakilian

Toyota Technological Institute at Chicago (TTIC)

Dirección de correo verificada de ttic.edu - Página principal

Sublinear Algorithms Algorithmic Fairness Learning-Augmented Algorithms


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Scalable fair clustering A Backurs, P Indyk, K Onak, B Schieber, A Vakilian, T Wagner International Conference on Machine Learning, 405-413, 2019	256	2019
Learning-based frequency estimation algorithms CY Hsu, P Indyk, D Katabi, A Vakilian International Conference on Learning Representations, 2019	177	2019
Individual fairness for -clustering S Mahabadi, A Vakilian International conference on machine learning, 6586-6596, 2020	85	2020
Learning-based low-rank approximations P Indyk, A Vakilian, Y Yuan Advances in Neural Information Processing Systems, 7402-7412, 2019	65	2019
Faster fundamental graph algorithms via learned predictions J Chen, S Silwal, A Vakilian, F Zhang International Conference on Machine Learning, 3583-3602, 2022	55	2022
Approximation algorithms for socially fair clustering Y Makarychev, A Vakilian Conference on Learning Theory, 3246-3264, 2021	52	2021
Towards tight bounds for the streaming set cover problem S Har-Peled, P Indyk, S Mahabadi, A Vakilian Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2016	47*	2016
On streaming and communication complexity of the set cover problem ED Demaine, P Indyk, S Mahabadi, A Vakilian Distributed Computing: 28th International Symposium, DISC 2014, Austin, TX …, 2014	46	2014
Improved approximation algorithms for individually fair clustering A Vakilian, M Yalciner International Conference on Artificial Intelligence and Statistics, 8758-8779, 2022	44	2022
Sample-optimal low-rank approximation of distance matrices P Indyk, A Vakilian, T Wagner, DP Woodruff Conference on Learning Theory, 1723-1751, 2019	34	2019
Learning Online Algorithms with Distributional Advice I Diakonikolas, V Kontonis, C Tzamos, A Vakilian, N Zarifis International Conference on Machine Learning, 2687-2696, 2021	31	2021
Approximating Fair Clustering with Cascaded Norm Objectives E Chlamtáč, Y Makarychev, A Vakilian Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022	29	2022
Node-weighted network design in planar and minor-closed families of graphs C Chekuri, A Ene, A Vakilian ACM Transactions on Algorithms (TALG) 17 (2), 1-25, 2021	26	2021
Prize-collecting survivable network design in node-weighted graphs C Chekuri, A Ene, A Vakilian International Workshop on Approximation Algorithms for Combinatorial …, 2012	26	2012
Local Computation Algorithms for Spanners M Parter, R Rubinfeld, A Vakilian, A Yodpinyanee 10th Innovations in Theoretical Computer Science Conference (ITCS 2019), 2019	25	2019
Learning the positions in countsketch Y Li, H Lin, S Liu, A Vakilian, DP Woodruff arXiv preprint arXiv:2306.06611, 2023	23*	2023
Fractional set cover in the streaming model P Indyk, S Mahabadi, R Rubinfeld, J Ullman, A Vakilian, A Yodpinyanee 20th International Workshop on Approximation Algorithms for Combinatorial …, 2017	23	2017
(Learned) Frequency Estimation Algorithms under Zipfian Distribution A Aamand, P Indyk, A Vakilian arXiv preprint arXiv:1908.05198, 2019	19*	2019
Tight Trade-offs for the Maximum k-Coverage Problem in the General Streaming Model P Indyk, A Vakilian Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2019	16	2019
Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class ED Demaine, TD Goodrich, K Kloster, B Lavallee, QC Liu, BD Sullivan, ... arXiv preprint arXiv:1806.02771, 2018	16	2018

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